Lian Duan
Impact in
- Rheumatology top 10%
- Moyamoya disease diagnosis and treatment
-
- Intracranial Aneurysms: Treatment and Complications
- Cerebrovascular and genetic disorders
Papers in
- Rheumatology 10
- Moyamoya disease diagnosis and treatment 10
- Genetics 3
- Connective tissue disorders research 2
- High Altitude and Hypoxia 1
- Co-authors
- Cong Han (5 shared papers)Xiang‐Yang Bao (6 shared papers)Hui Wang (2 shared papers)Desheng Li (2 shared papers)Wei-Zhong Yang (1 shared paper)Zhiwen Liu (1 shared paper)Feng Zhao (1 shared paper)Bin Zhang (1 shared paper)
- Journals
- Journal of neurosurgery (2 papers)European Journal of Neurology (2 papers)Journal of Alzheimer s Disease (1 paper)PLoS ONE (1 paper)Neurology Genetics (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lian Duan
16 papers receiving 274 citations
Peers
Comparison fields: 5 of 51
- Rheumatology 133
- Neurology 51
- Developmental Neuroscience 13
- Psychiatry and Mental health 43
- Genetics 19
Countries citing papers authored by Lian Duan
This map shows the geographic impact of Lian Duan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lian Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lian Duan more than expected).
Fields of papers citing papers by Lian Duan
This network shows the impact of papers produced by Lian Duan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lian Duan. The network helps show where Lian Duan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lian Duan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 64 | |
| 2 | 2020 | 49 | |
| 3 | 2019 | 31 | |
| 4 | 2016 | 27 | |
| 5 | 2019 | 21 | |
| 6 | 2014 | 19 | |
| 7 | 2012 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2025 | 0 |
About Lian Duan
Lian Duan is a scholar working on Rheumatology, Genetics, Psychiatry and Mental health, Molecular Biology and Genetics, having authored 17 papers that have together received 277 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (10 papers), Neurological Complications and Syndromes (3 papers), Connective tissue disorders research (2 papers), Acute Myeloid Leukemia Research (1 paper), High Altitude and Hypoxia (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Pediatric health and respiratory diseases (1 paper) and Intracranial Aneurysms: Treatment and Complications (1 paper). The work is most often cited by research in Rheumatology (133 citations), Neurology (51 citations), Developmental Neuroscience (13 citations), Psychiatry and Mental health (43 citations) and Genetics (19 citations). Lian Duan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Cong Han, Xiang‐Yang Bao, Hui Wang, Desheng Li, Wei-Zhong Yang, Zhiwen Liu, Feng Zhao, Bin Zhang, Yang Yang and Xu Chen. Their work appears in journals such as Journal of neurosurgery, European Journal of Neurology, Journal of Alzheimer s Disease, PLoS ONE and Neurology Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.